Insight
Insight
The Invisible Tax Every Enterprise and SME Pays
14 Jun 2026
Matt Cull
Why the biggest cost in your organisation isn’t software. It’s friction.
Enterprise organisations spend millions measuring the cost of technology. Software licences are scrutinised, ERP programmes are expected to deliver measurable returns, and AI investments are increasingly judged on productivity gains.
Yet one of the largest costs within any organisation rarely appears on a balance sheet.
It exists in the time employees spend moving information between systems, reconciling spreadsheets, chasing approvals and manually completing processes that technology should already support. It exists in duplicated effort, disconnected workflows and the countless hours spent searching for information rather than making decisions. Most importantly, it exists in the talented people whose expertise is consumed by administration instead of creating value.
This is the invisible tax that almost every enterprise pays.
The challenge is that most organisations no longer recognise it. As businesses grow, new systems are introduced to solve individual problems, acquisitions bring additional technology into the estate and temporary workarounds quietly become permanent ways of working. Over time, complexity stops feeling exceptional because everyone has adapted to it. As Trevor, creator of the Diffusion Layer, observed during a recent discussion with Vannda, “They often don’t notice it because they’ve just hired a bunch of people to do admin to plug the gaps.”
That observation changes the conversation around AI. The real opportunity isn’t replacing people. It’s removing the operational friction that prevents those people from doing the work they were hired to do.
AI doesn’t remove friction. It exposes it.
Much of the current AI conversation has focused on improving individual productivity. Organisations are using AI to generate reports, analyse data, summarise meetings and automate routine tasks. These capabilities are valuable, but they don’t necessarily improve how work flows across the organisation.
If finance still spends days consolidating data before month-end reporting, or project teams continue moving information manually between disconnected systems, AI has simply accelerated one stage of a much larger process.
Trevor compares this to a production line. Making one machine faster achieves very little if every other stage continues to operate at the same pace. The bottleneck simply moves somewhere else.
The same principle applies to enterprise operations. Sustainable transformation comes from improving the flow of work across the organisation, not simply making isolated tasks more efficient.
A new layer for enterprise operations
For more than two decades, enterprise transformation has focused on implementing systems of record. ERP platforms manage finance, CRM systems manage customers and specialist applications support every business function. While these platforms have become increasingly capable, the movement of information between them still relies heavily on people.
Employees have effectively become the integration layer, transferring data, coordinating approvals and ensuring one system reflects what another already knows.
This is the challenge the Diffusion Layer has been designed to solve.
Rather than replacing existing enterprise applications, it sits above them as an orchestration layer, enabling systems to exchange information and coordinate activity automatically. Trevor describes it as a control tower for enterprise operations, providing the coordination that allows specialist systems to work together as a connected ecosystem rather than isolated applications.
The significance of this approach extends well beyond automation. AI performs best when it has access to trusted information, consistent governance and clearly defined business processes. By connecting existing enterprise systems and allowing information to move more freely, the Diffusion Layer creates the operational environment in which AI can deliver value at scale rather than in isolated pockets of the business.
From automation to orchestration
This represents an important shift in the way organisations should think about transformation.
The first generation of digital programmes focused on digitising manual processes. The second connected business data through modern ERP platforms. The next phase is about orchestration – creating an operating model where information, decisions and actions flow seamlessly across the enterprise without depending on constant human intervention.
For Vannda, this is why ERP transformation, AI and the Diffusion Layer are part of the same conversation rather than separate initiatives. Modern ERP platforms provide the trusted operational foundation. AI introduces intelligence into processes and decision-making. The Diffusion Layer connects those capabilities together, enabling organisations to operate as a single, coordinated system.
Removing the invisible tax
The invisible tax has never really been caused by a lack of technology. It is the result of operational friction that has accumulated over years of growth, acquisitions and disconnected systems. Every manual reconciliation, duplicated process and delayed decision represents a small amount of lost value. Those inefficiencies become a significant barrier to agility and innovation.
The organisations that will benefit most from AI are unlikely to be those deploying the largest number of intelligent tools. They will be those that remove the friction preventing information from moving freely across the business. When systems become connected and routine coordination is automated, people are free to focus on the work that genuinely requires judgement, creativity and expertise.
That is why we see the Diffusion Layer as more than another technology product. It represents a new architectural layer for enterprise operations, complementing existing ERP investments while enabling AI to fulfil its real promise – not simply making people work faster, but helping organisations work better.
Why the biggest cost in your organisation isn’t software. It’s friction.
Enterprise organisations spend millions measuring the cost of technology. Software licences are scrutinised, ERP programmes are expected to deliver measurable returns, and AI investments are increasingly judged on productivity gains.
Yet one of the largest costs within any organisation rarely appears on a balance sheet.
It exists in the time employees spend moving information between systems, reconciling spreadsheets, chasing approvals and manually completing processes that technology should already support. It exists in duplicated effort, disconnected workflows and the countless hours spent searching for information rather than making decisions. Most importantly, it exists in the talented people whose expertise is consumed by administration instead of creating value.
This is the invisible tax that almost every enterprise pays.
The challenge is that most organisations no longer recognise it. As businesses grow, new systems are introduced to solve individual problems, acquisitions bring additional technology into the estate and temporary workarounds quietly become permanent ways of working. Over time, complexity stops feeling exceptional because everyone has adapted to it. As Trevor, creator of the Diffusion Layer, observed during a recent discussion with Vannda, “They often don’t notice it because they’ve just hired a bunch of people to do admin to plug the gaps.”
That observation changes the conversation around AI. The real opportunity isn’t replacing people. It’s removing the operational friction that prevents those people from doing the work they were hired to do.
AI doesn’t remove friction. It exposes it.
Much of the current AI conversation has focused on improving individual productivity. Organisations are using AI to generate reports, analyse data, summarise meetings and automate routine tasks. These capabilities are valuable, but they don’t necessarily improve how work flows across the organisation.
If finance still spends days consolidating data before month-end reporting, or project teams continue moving information manually between disconnected systems, AI has simply accelerated one stage of a much larger process.
Trevor compares this to a production line. Making one machine faster achieves very little if every other stage continues to operate at the same pace. The bottleneck simply moves somewhere else.
The same principle applies to enterprise operations. Sustainable transformation comes from improving the flow of work across the organisation, not simply making isolated tasks more efficient.
A new layer for enterprise operations
For more than two decades, enterprise transformation has focused on implementing systems of record. ERP platforms manage finance, CRM systems manage customers and specialist applications support every business function. While these platforms have become increasingly capable, the movement of information between them still relies heavily on people.
Employees have effectively become the integration layer, transferring data, coordinating approvals and ensuring one system reflects what another already knows.
This is the challenge the Diffusion Layer has been designed to solve.
Rather than replacing existing enterprise applications, it sits above them as an orchestration layer, enabling systems to exchange information and coordinate activity automatically. Trevor describes it as a control tower for enterprise operations, providing the coordination that allows specialist systems to work together as a connected ecosystem rather than isolated applications.
The significance of this approach extends well beyond automation. AI performs best when it has access to trusted information, consistent governance and clearly defined business processes. By connecting existing enterprise systems and allowing information to move more freely, the Diffusion Layer creates the operational environment in which AI can deliver value at scale rather than in isolated pockets of the business.
From automation to orchestration
This represents an important shift in the way organisations should think about transformation.
The first generation of digital programmes focused on digitising manual processes. The second connected business data through modern ERP platforms. The next phase is about orchestration – creating an operating model where information, decisions and actions flow seamlessly across the enterprise without depending on constant human intervention.
For Vannda, this is why ERP transformation, AI and the Diffusion Layer are part of the same conversation rather than separate initiatives. Modern ERP platforms provide the trusted operational foundation. AI introduces intelligence into processes and decision-making. The Diffusion Layer connects those capabilities together, enabling organisations to operate as a single, coordinated system.
Removing the invisible tax
The invisible tax has never really been caused by a lack of technology. It is the result of operational friction that has accumulated over years of growth, acquisitions and disconnected systems. Every manual reconciliation, duplicated process and delayed decision represents a small amount of lost value. Those inefficiencies become a significant barrier to agility and innovation.
The organisations that will benefit most from AI are unlikely to be those deploying the largest number of intelligent tools. They will be those that remove the friction preventing information from moving freely across the business. When systems become connected and routine coordination is automated, people are free to focus on the work that genuinely requires judgement, creativity and expertise.
That is why we see the Diffusion Layer as more than another technology product. It represents a new architectural layer for enterprise operations, complementing existing ERP investments while enabling AI to fulfil its real promise – not simply making people work faster, but helping organisations work better.